Triple
T7474663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Baden-Württemberg |
E176599
|
entity |
| Predicate | supporterSymbolizes |
P34776
|
FINISHED |
| Object | former state of Baden |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: former state of Baden | Statement: [coat of arms of Baden-Württemberg, supporterSymbolizes, former state of Baden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supporterSymbolizes Context triple: [coat of arms of Baden-Württemberg, supporterSymbolizes, former state of Baden]
-
A.
supporterSymbol
chosen
Indicates that one entity serves as a symbolic representation or emblem of support for another entity.
-
B.
supporterOf
Indicates that one entity backs, advocates for, or provides assistance to another entity, cause, or organization.
-
C.
supporter
Indicates a relationship where one entity backs, advocates for, or provides assistance to another entity, often in an ongoing or affiliative way.
-
D.
supporters
Indicates a relationship where one entity backs, endorses, or actively helps another entity, cause, or position.
-
E.
supporterPosition
Indicates the role, stance, or location that a supporter holds in relation to the entity or issue they support.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f417fbb48190b134eaf1da1b4289 |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.